Method and system for improved image compression

ABSTRACT

A system configured to perform pre-processing on a plurality of frames representative of an image, such as frames of a video sequences, to improve the compressibility of the video sequence during video encoding. In some cases, the plurality of frames are utilized to generate a deblocked image that may be compressed by the video encoder to further improve compression rates with respect to the original video sequence.

CROSS-REFERENCE TO RELATED APPLICATION(S)

This application is a divisional of and claims priority to U.S.application Ser. No. 15/427,570, filed on Feb. 8, 2017 and entitled“METHOD AND SYSTEM FOR IMPROVED IMAGE COMPRESSION,” the entirety ofwhich is incorporated herein by reference.

BACKGROUND

Conventional compression systems, often perform pre-processing on visualdata to remove undesirable noise from video or image sources prior tocompressing the data. In some case, block based pre-processing may beperformed to improve the overall compression associated with the visualdata when compared to compression of non-processed visual data. However,the act of blocking in conventional systems often introduces edgeeffects or imperceptible irregularities that are not detectable by thehuman eye. Unfortunately, the imperceptible irregularities effectivelyintroduce additional data prior to encoding that ultimately reduces arealized compression rate with respect to the visual data.

BRIEF DESCRIPTION OF THE DRAWINGS

The detailed description is described with reference to the accompanyingfigures. In the figures, the left-most digit(s) of a reference numberidentifies the figure in which the reference number first appears. Theuse of the same reference numbers in different figures indicates similaror identical components or features.

FIG. 1 illustrates an example block diagram of a system for performingdeblocking on pre-compressed visual data according to someimplementations.

FIG. 2 illustrates an example graphical representation of deblockingplanes generated with respect to an original image according to someimplementations.

FIG. 3 illustrates an example graphical representation of an originalimage with padding to accommodate shifting of the original image withrespect to generation of one or more planes according to someimplementations.

FIG. 4 illustrates another example graphical representation ofdeblocking planes generated with respect to an original image accordingto some implementations.

FIG. 5 illustrates an example graphical representation of weighting apixel within a block of a deblocking plane according to someimplementations.

FIG. 6 another illustrates an example graphical representation ofweighting a pixel within a block of a deblocking plane according to someimplementations.

FIG. 7 illustrates another example graphical representation of weightinga pixel within a block of a deblocking plane according to someimplementations.

FIG. 8 illustrates yet another example graphical representation ofweighting a pixel within a block of a deblocking plane according to someimplementations.

FIG. 9 illustrates an example a deblocking unit for deblockingpre-processed planes according to some implementations.

FIG. 10 illustrates example components an electronic device that may beconfigured to perform deblocking on an image prior to encoding accordingto some implementations

FIG. 11 is an example flow diagram showing an illustrative process fordeblocking an image prior to encoding according to some implementations.

DETAILED DESCRIPTION Introduction

This disclosure includes techniques and implementations for deblockingof image data, including spatiotemporal three-dimensional videosequences, to improve effective compressing rates realized by a videoencoder. For example, image data is often pre-processed prior tocompressing by a video encoder to improve the compression rate of theimage data when compared with a non-processed image. However, manyconventional systems utilize block based pre-processing systems thatintroduce imperceptible irregularities (e.g., data not noticeable ordetectable by the human eye) along the edge of the blocks. Thepre-processed image data including the imperceptible irregularities arethen encoded and transmitted to a receiver (such as a set-top-box).Unfortunately, in the conventional system, the encoding of theimperceptible irregularities results in a reduction in the overallcompression of the image data, increasing bandwidth usage, and overallcosts associated with transmitting data. Thus, described herein, is asystem and techniques to remove the imperceptible irregularities usingdeblocking on the pre-processed image data prior to compression by theencoder.

For example, in one implementation, the image data may be provided tothe pre-processor to improve the overall compression rate of the imagedata. The pre-processed data may then be deblocked either by thepre-processor or by the encoder prior to compressing. In some cases, thedeblocking may include receiving a plurality of planes, eachrepresentative of at least a portion of the image data. In one example,each plane may be offset from a top left corner of the image, designatedat (0,0), by X and Y coordinate combinations formed based on apredetermined offset value. For instance, one possible series of offsetsfor an 8×8 image with a preprocess that utilizes a block size of 4×4 maybe based on a predetermined offset value of two (e.g., half the blocksize). In this example, the offset values for X and Y may be (0,0),(2,0), (0,2), and (2,2).

In another specific example, the number of planes for an image may setto four. In this example, the offset may be based on a value other thanhalf the block size as discussed above. For instance, the plane size maybe based on the size of the predetermined offset value and the size ofthe plane. Thus, if the image has a size of ten by ten and thepredetermined offset value of two, the plane size may be set to eight byeight and the coordinates of each plane offset from (0,0) at the topleft corner may be (0,0), (0,2), (2,0), and (2,2). Using these offsetcoordinates for the top left corner of each plane having a size of eightby eight (e.g., the size of the image minus the offset value), resultsin four overlapping planes in which none of the interior pixels of theimage are boundary pixels for all of the planes (e.g., each interiorpixel of the image is also an interior pixel for at least one of theplanes).

For example, in one implementation, the image data may be provided tothe pre-processor to improve the overall compression rate with respectto the original image data. The pre-processed data may then be deblockedeither by the pre-processor or by the encoder prior to compressing. Inone particular example, the deblocking unit may receive a single planerepresenting at least a portion of the image to be deblocked, and may ormay not carry associated data indicating the size and alignment of aplurality of processed blocks comprising the plane. In this case, otherdeblocking methods may be employed to determine block boundaries andremove pre-processing edge artifacts, rendering the plane morecompressible.

In another specific example, the number of planes for an image may setto four and the offset set to half the block size. For instance, if theimage has a size of eight by eight and the predetermined offset value offour, the planes may be offset by X, Y values of (0,0), (0,2), (2,0),and (2,2), as discussed above. However, in this example, the boundarypixels may be ignored as in some systems (e.g., video processingsystems) boundary pixels may not affect the compressibility of theimage, as some types of pre-processing, such as motion estimation, donot extend outside the boundary of the image. Thus, in this example, theblocks for the plane at (0,0) may be four by four, the blocks for theplane at (0,2) may be four by four or four by two, the blocks for theplane at (2,0) may be two by four or four by four, and the blocks forthe plane at (2,2) may be two by two, two by four, four by four, or fourby two. Again in this example, the blocks of each of the four planesoverlap such that none of the interior pixels of the image are boundarypixels for all of the blocks over all of the planes (e.g., each interiorpixel of the image is also an interior pixel for at least one blockwithin at least one plane).

In yet another specific example, the number of planes for an image mayset to four. In this example, the plane size may be based on the size ofthe predetermined offset value and the size of a padded version of theoriginal image. Unlike the example above, in this case, the padding maycause boundary pixels of the original image to be interior pixels of atleast one block of at least one plane. For example, the pre-processormay extend or shift the image by mirroring the edges pixels or paddingthe original image. For instance, the padding may be equal to half ablock size or in this case of a block size of 4×4, the padding may addtwo additional pixels around the exterior of the original image. Thus,if the original image has a size of eight by eight and the pre-processhas a block size of 4×4, the top left corner of a block within eachplane offset from (0,0) of the original image may be (−2,−2), (−2,0),(0,−2), and (0,0). Thus, by extending the planes beyond the boundary ofthe original image, the four planes overlap such that none of theinterior pixels nor the exterior pixels of the original image areboundary pixels for all of the blocks over all of the planes (e.g., eachpixel of the original image is also an interior pixel for at least oneblock of at least one plane).

Example Implementations

FIG. 1 illustrates an example block diagram of a system 100 forperforming deblocking on pre-compressed visual data according to someimplementations. For instance, an image 102, such as one image of avideo sequence, may be received by a pre-processor 104, to process theimage 102 in a manner to improve compressibility by the encoder or videoencoder 106. In some cases, the pre-processing of the original image 102by the pre-processor 104 may introduce imperceptible irregularities(e.g., data not noticeable or detectable by the human eye) along theedge of the block, particularly when block based pre-processing isperformed. In conventional systems, these imperceptible irregularitiesmay introduce additional data to be compressed, encoded, or otherwiseprocessed by the encoder 106 reducing an overall achievable compressionratio and increasing the overall bandwidth usage of transmitting theimage 102 or the video sequence associated with the image 102.

In this example, unlike conventional systems, the pre-processor 104 maygenerate a plurality of planes 108 representative of shifted versions ofthe original image 102 and perform the pre-processing on each of theindividual planes 108. While the pre-processing of each plane 108 by thepre-processor 104 may introduce imperceptible irregularities along theboundary of blocks of each plane 108, the planes 108 may be shifted withrespect to the original image such that each pixel (or in other cases,each interior pixel) of the original image 102 is an interior pixel ofat least one block of at least one plane 108. Thus, mitigating theeffect of the imperceptible irregularities introduced along the boundaryof each block with respect to at least one copy of the pixel from theoriginal image 102.

The planes 108 are then provided to a deblocking unit 110. Thedeblocking unit 110 combines the plurality of planes 108 back into asingle pre-processed and deblocked image 112. In general, the deblockingunit 110 may select a pixel position corresponding to a pixel of theoriginal image 102 and utilize the pixels of at least one block of atleast one plane 108 to generate the pixel of the pre-processed anddeblocked image 112 at the pixel position. For example, the deblockingunit 112 may identify each of the blocks within one of the planes 108 atwhich the pixel position exists and weight each pixel based on adistance from the center of the corresponding block. Thus, the closer apixel is to a boundary of the corresponding block the less weight thepixel is given by the deblocking unit 110. As such, the pre-processedand deblocked image 112 generated by the deblocking unit 110 containsimage data that is least likely to experience edge effects duringpre-processing, thus, reducing the effect that the imperceptibleirregularities has on compression by encoder 106.

For instance, in one implementation, the deblocking unit 110 maydetermine a weight associated with a pixel of a block based on a pixel'sposition relative to the center of the block, as pixels near the centerof a block contain more accurate estimates than pixels near the edges ofthe block. Thus, the pixels that are near the center of the block areassigned a higher weight. In some examples, a sum of the weights acrossall blocks having a pixel at a corresponding pixel position may be equalto 1.0. For instance, if N different planes 108 are used, the finalpixel weight of a pixel at a selected position in the deblocked image112 is calculated by summing the weighted pixels at the selectedposition for each plane 108. For example, if the planes 108 arerepresented as P₁ to P_(n), (i,j) are used to represent a position ofeach pixel within the original image 102, and w_(n) represents theweight based on the distance from the center of a block, then thedeblocked image 112 may be expressed as P′(i,j) and generated from theplanes 108 as follows:

${P^{\prime}\left( {i,j} \right)} = {\sum\limits_{n = {1\ldots \; N}}{{w_{n}\left( {i,j} \right)}*{P_{n}\left( {i,j} \right)}}}$

Once, the encoder 106 receives the pre-processed and deblocked image112, the encoder 106 may compress the pre-processed and deblocked image112 and generate a compressed image or date 114. The compressed image114 may then be transmitted, for example, to a decoder for display to auser.

FIG. 2 illustrates an example graphical representation 200 of deblockingplanes generated with respect to an original image 202 having pixels 204according to some implementations. In the current example, the pixels204 may be referred to with respect to a position offset from a pixel206 at position (0,0). Thus, the pixel 208 may have a position of (1,4)(e.g., one pixel to the right of the pixel 206 and four pixels below thepixel 206).

In the current example, planes, such as planes 210, 212, 214, and 216,may be generated by a pre-processor. During the pre-processing theplanes 210-216 may be processed according to blocks, such as theillustrated blocks 218-268. For instance, in the illustrated example,the plane 210 may include blocks 218-224, the plane 212 may include theblocks 226-236, the plane 214 may include the blocks 238-254, and theplane 216 may include blocks 256-266. Thus, as illustrated, thepre-processor may generate the planes 210-216 such that each pixel 204of the original image 202 are interior pixels of at least one block ofat least one block of one of the planes 210-216, as shown via theshading of the pixels 204 within the planes 210-216. In the currentexample, the planes are not illustrated with padding. However, ifpadding was used to extend the boundary of the original image 202 priorto processing by the pre-processor, each of the shaded pixels within aplane would correspond to an interior pixel of at least one block218-266. In this example, a deblocked image (not shown) may be formed byusing only interior pixels of the block 218-266 to further reduce theeffect of the imperceptible irregularities on the compression ratesassociated with the original image 202. In other examples, the pixels204 may be weighted based on a distance from the edge of a block 218-266containing the pixel being weighted. The pixels may then be used to formthe deblocked image based on the weight assigned.

FIG. 3 illustrates an example graphical representation 300 of anoriginal image 302 with padding, generally indicated by dashed line 304,to accommodate shifting of the original image with respect to generationof one or more planes according to some implementations. For example,the pre-processor or other image processing component may be configuredto extend the border or edges of the image 302 by mirroring or addingpixel, such as shaded pixels 306, around the exterior of the imagepixels, such as pixels 308. In this manner, each pixel 308 of theoriginal image may be an interior pixel of at least one block of atleast one plane as will be discussed in more detail below with respectto FIG. 4.

FIG. 4 illustrates another example graphical representation 400 ofdeblocking planes 402-408 generated with respect to padded version ofthe original image 302 of FIG. 3 according to some implementations. Inthis example, the graphical representation 400 illustrates a pixel 410of an original image 412 within each of the deblocking planes 402-408and a deblocked image 414. In the current illustration, the pixel 410 iswithin a different block of each of the planes 402-408. For example,within plane 402, the pixel 410 is within the block 416, within plane404, the pixel 410 is within the block 418, within plane 406, the pixel410 is within the block 420, and within plane 402, the pixel 410 iswithin the block 422. However, the pixel 410 is in the same position ineach plane 402-408 with respect to the (0,0) pixel 424 of the originalimage 412 (e.g., the pixel 410 in each plane 402-408 is at a position(3,3) or three pixels to the right of pixel 424 and three pixels belowthe pixel 424).

In general, when the deblocking unit selects, weights, and combines theimage data from each of the planes 402-408 to generate the deblockedimage 414, the deblocking unit identifies each plane 402-408 having apixel at a select position of the original image 412 and weights each ofthe identified pixels based on a distance from the center of thecorresponding block, such as blocks 416-422. For instance, in thecurrent example, the pixel 410 is nearer the center of the block 416than the pixel 410 within the blocks 418, 420, and 422. Thus the datafrom the plane 402 associated with the pixel 410 may have a higherweight than the corresponding pixel 410 within the planes 404-408, andthus will contribute more data to the pixel 410 within the deblockedimage 412. Similarly, the pixel 410 within planes 404-408 will have alower weight than the pixel 410 within plane 402 and, thus, willcontribute less image data to the deblocked image 412 with respect topixel 410.

Additionally, in this example, the pixels of the planes 402-408 extendbeyond the edge of the original image 412 in each case. In this manner,the edge pixels, such as pixel 424 at (0,0), may be an interior pixel ofat least one of the blocks (e.g., in this example block 426 of plane408). In some cases, the pre-processor may generate the additionalpixels of the planes 402-08 by padding, mirroring, or extending theoriginal image 412 prior to performing additional pre-processingoperations on each plane 402-408.

FIG. 5 illustrates an example graphical representation 500 of weightinga pixel 502 within a block 506 of a deblocking plane 504 according tosome implementations In this example, weights may be assigned toindividual pixels within a block, such as block 506 based on a distance,such as a distance 508, between the individual pixel 502 and a center ofthe block 510. In this example, the weight of a pixel may be calculatedas:

w(i,j)=(B2−d)/B2

where w(i,j) is the weight of a pixel at position (i,j), d is thedistance, and B2 is half the preprocessor block size (or plane size).Thus, in the current example, the weight of the pixel 502 is beingdetermined using the distance 508.

FIG. 6 illustrates another example graphical representation 600 ofweighting a pixel 602 within a block 604 of a deblocking plane accordingto some implementations. For instance, in the illustrated example, ablock 604 of the plane is shown. In this example, the block 604 is ablock having a size of an eight by eight. In this example, the weightsmay be assigned to individual pixels within the block 604 based on adistance, such as a distance 606, between the individual pixel 602 and acenter 608 of the block 604. Similar to the weighting discussed above,the weight of a pixel may be calculated as:

w(i,j)=(B2−d)/B2

where w(i,j) is the weight of a pixel at position (i,j), d is thedistance, and B2 is half the preprocessor block size (or plane size).Thus, in the current example, the weight of the pixel 602 is beingdetermined using the distance 606.

In the current example, by using the equation above to weight the pixelsof the deblocking plane 604, the pixels along the edge, generallyindicated by shaded pixels 610, may be less than zero. In the case, apixel has a value of less than zero, the weight may be set to zero. Inthe current example, the pixels 610 having a weight of zero are thepixels that fall along or outside of the line 612.

FIG. 7 illustrates an example graphical representation 700 of weightinga pixel 702 within a block 704 of a deblocking plane according to someimplementations. For instance, in the illustrated example, a block 704of the plane is shown and weights are again assigned to individualpixels of the block 704 based on a distance, such as a distance 706,between the individual pixel and a center 708 of the block 704. However,in this example, the weight of a pixel may be calculated as:

w(i,j)=(R2−d)/R2

R2=B2*√{square root over (2.0)}

where w(i,j) is the weight of a pixel at position (i,j), d is thedistance, and R2 is the distance from the corner to the center of theblock 704 times the square root of two.Thus, the corner pixels of a plane will have the lowest weight. In thecurrent example, the weight of the pixel 702 is being determined usingthe distance 706. In this example, the weights are greater than zero asthe zero condition is shown by line 710.

FIGS. 6 and 7 illustrate two examples weights that may be used by adeblocking unit to generate a deblocked image from a plurality ofplanes. However, it should be understood that other weighting metricsmay be used. For example, the weight of a pixel may be determined to beproportional to the cosine of the distance from the edge of the block704 rather than being linearly related to the distance from the center708. For example, the weight may be calculated as follows:

w(i,j)=cos((π/2.0)*(B2−d)/B2)

In another example, the weight of a pixel may be determined to beproportional to the cosine of the distance from the corner of a block asfollows:

w(i,j)=cos((π·2.0)*(R2−d)/R2)

In another example, only the middle pixels in the center of each blockmay be used to generated the deblocked image. In this case, eachadditional pixel may be ignored or assigned a weight of 0.0. Forinstance, in one particular example, using a block size of eight byeight only the four center pixels may be used from each plane whengenerating a deblocked image.

In yet another example, each plane may be given an equal weight or setto a value of 1/K where K is the number of planes. It should beunderstood that additional weighting techniques may be utilized by thedeblocking unit to merge or combine image data on a pixel by pixellevel. In each case, the weight of corresponding pixels across theplanes may be summed to a value of one.

FIG. 8 illustrates an example graphical representation 800 of deblockingplanes 802-830 generated with respect to an original image 832 and adeblocked image 834 according to some implementations. In this example,the planes 802-834 may include blocks having a five by five size havinga starting positioned shifted by one pixel for each plane 802-830. Inthe current illustration, the highlighted pixel 836 is shown in theoriginal image 832, the deblocked image 834, and planes 802-830 withrespect to a shifted block within the planes.

FIG. 9 illustrates an example a deblocking unit 900 for deblockingpre-processed planes 902 according to some implementations. Forinstance, in the current example, a pre-processor (not shown) may havegenerated the plurality of planes 902 with respect to an original imageto improve the overall compression rate with respect to the originalimage, as discussed above. Each of the planes may represent a portion ofthe original image data after the pre-processing operations areperformed. For example, each of the planes 902 may be a shiftedrepresentation of the original image with additional pixels added aspadding to accommodate the shifting. In other cases, the planes 902 mayhave less image data or be of a smaller size than the original image.Further, a size of amount of data or position of the blocks within eachplane 902 associated with the original image may vary.

The deblocking unit 900 may include several modules or components, suchas a pixel selection unit 904, a pixel weighting unit 906, and a mergeunit 908. For example, the pixel selection unit 904 may be configured toselect a current pixel to process and identify each plane 902 that hasimage data associated with the selected pixel.

The pixel weighting unit 906 may be configured to determine a weight toassign to corresponding pixels within each plane 902 contributing imagedata to a particular pixel of the daglocked image 910. For instance, asdiscussed above, weights are assigned to individual pixels of the planes902 based on a distance between the pixel selected by the pixelselecting unit and a center of a corresponding block within a plane 902.In one example, the weight of a pixel may be calculated as:

w(i,j)=(B2−d)/B2

where w(i,j) is the weight of a pixel at position (i,j), d is thedistance, and B2 is half the preprocessor block size. In anotherexample, weights may be calculated as:

w(i,j)=(R2−d)/R2

R2=B2*√{square root over (2.0)}

where w(i,j) is the weight of a pixel at position (i,j), d is thedistance, and R2 is the distance from the corner to the center of thecorresponding block times the square root of two. In other examples, theweight of a pixel may be determined to be proportional to the cosine ofthe distance from the edge of the corresponding plane 902 rather thanbeing linearly related to the distance from the center. For instance,the weight may be calculated as follows:

w(i,j)=cos((π/2.0)*(B2−d)/B2)

In other cases, the weight of a pixel may be determined to beproportional to the cosine of the distance from the corner of a block asfollows:

w(i,j)=cos((π·2.0)*(R2−d)/R2)

In yet other examples, only the middle pixels in the center of eachblock may be used to generated the deblocked image or pixels of eachplane 902 may be given an equal weight, such as set to a value of 1/Kwhere K is the number of planes 902.

The merger unit 908 may be configured to merge the image data of thepixels from each plane 902 corresponding to the pixel selected by thepixel selecting unit 904 according to the weight applied. For example,if the planes 902 are represented as P₁ to P_(n), (i,j) are used torepresent a position of each pixel within the original image, andw_(n)(i,j) represents the weight of the pixel at the position (i,j),then the deblocked image 910 may be expressed as P′(i,j) and generatedby the merge unit 908 from the pixels of the planes 902 as follows:

${P^{\prime}\left( {i,j} \right)} = {\sum\limits_{n = {1\ldots \; N}}{{w_{n}\left( {i,j} \right)}*{P_{n}\left( {i,j} \right)}}}$

FIG. 10 illustrates example components an electronic device 1000 thatmay be configured to perform deblocking on an image prior to encodingaccording to some implementations. For example, electronic device 1000may include processing resources, as represented by processors 1002, andcomputer-readable storage media 1004. The computer-readable storagemedia 1004 may include volatile and nonvolatile memory, removable andnon-removable media implemented in any method or technology for storageof information, such as computer-readable instructions, data structures,program modules, or other data. Such memory includes, but is not limitedto, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM,digital versatile disks (DVD) or other optical storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, RAID storage systems, or any other medium which can beused to store the desired information and which can be accessed by acomputing device.

The electronic device 1000 may also include one or more communicationinterfaces 1006, which may support both wired and wireless connection tovarious networks, such as cellular networks, radio (e.g.,radio-frequency identification RFID), WiFi networks, short-range ornear-field networks (e.g., Bluetooth®), infrared signals, local areanetworks, wide area networks, the Internet, and so forth. For example,the communication interfaces 1006 may allow the electronic device 1000to send or stream compressed video or image data over one or morenetworks, such as the Internet®.

Several modules, sets of instructions, data stores, and so forth may bestored within the computer-readable media 1004 and configured to executeon the processors 1002. For example, a pre-processing module 1008, adeblocking module 1010, and an encoding module 1012, as well as othermodules 1014. In some implementations, the computer-readable media 1004may store data, such as input images or original image 1016, imageplanes 1018, deblocked images 1020, compressed images 1022, block sizes1024, and weighting functions 1026.

The pre-processing module 1008 may generate a plurality of image planes1018 representative of an original image 1016 and perform thepre-processing on each of the individual planes 1018. While thepre-processing of each plane 1018 by the pre-processing module 1008 mayintroduce imperceptible irregularities along the boundary of each block,the planes 1018 and/or blocks within each plane 1018 may be shifted withrespect to the original image 1016 such that each pixel (or in othercases, each interior pixel) of the original image 1016 is an interiorpixel of at least one block of at least one plane 1018. Thus, mitigatingthe effect of the imperceptible irregularities introduced along theboundary of each block with respect to at least one copy of the pixelfrom the original image 1016.

The deblocking module 1010 may receive a plurality of planes 1018representative of the original image 1016 and merge image data of one ormore of the plurality of planes 1018 back into a single pre-processedand deblocked image 1024. In general, the deblocking module 1010 mayselect a pixel position corresponding to a pixel of the original image1016 and utilize the pixels of at least one block of at least one plane1018 to generate the pixel of the pre-processed and deblocked image 1020at the pixel position. For example, the deblocking module 1010 mayidentify each of the planes 1018 at which the pixel position exists andweight each pixel based on a distance from the center of thecorresponding plane 1018 and a weighting function 1026. Thus, the closera pixel is to a boundary of the corresponding plane 1018 the less weightthe pixel is given by the deblocking module 1010. As such, thepre-processed and deblocked image 1020 generated by the deblockingmodule 1010 contains image data that is least likely to experience edgeeffects during pre-processing, thus, reducing the effect that theimperceptible irregularities has on compression by encoder module 1012.

For instance, in one implementation, the deblocking module 1010 maydetermine a weight associated with a pixel of a plane 1018 based on aweighting function 1026 associated with a distance from the center of ablock. For example, the pixels that are near the center of a block maybe assigned a higher weight than the pixel near the edge of the block.

In some implementations, the deblocking module 1010 may sum of theweights across all planes 1018 corresponding to a single pixel positionmay be equal to 1.0. For instance, if N different planes 1018 are used,the final pixel weight of a pixel at a select position in the deblockedimage 1020 is calculated by summing the weighted pixels at the selectposition for each plane 1018. For example, if the planes 1018 arerepresented as P₁ to P_(n), (i,j) are used to represent a position ofeach pixel within the original image 102, and w_(n) represents theweight, then the deblocked image 1020 may be expressed as P′(i,j) andgenerated from the planes 1018 as follows:

${P^{\prime}\left( {i,j} \right)} = {\sum\limits_{n = {1\ldots \; N}}{{w_{n}\left( {i,j} \right)}*{P_{n}\left( {i,j} \right)}}}$

The encoder module 1012 receives the pre-processed and deblocked image1020, and compress the pre-processed and deblocked image 1020 andgenerate a compressed image or date 1022. The compressed image 1022 maythen be transmitted, for example, to a decoder for display to a user bythe communication interface 1006.

FIG. 11 is a flow diagram illustrating example processes associated withdeblocking pre-processed image data prior to compression by an encoderaccording to some implementations. The processes are illustrated as acollection of blocks in a logical flow diagram, which represent asequence of operations, some or all of which can be implemented inhardware, software or a combination thereof. In the context of software,the blocks represent computer-executable instructions stored on one ormore computer-readable media that, which when executed by one or moreprocessors, perform the recited operations. Generally,computer-executable instructions include routines, programs, objects,components, encryption, deciphering, compressing, recording, datastructures and the like that perform particular functions or implementparticular abstract data types.

The order in which the operations are described should not be construedas a limitation. Any number of the described blocks can be combined inany order and/or in parallel to implement the process, or alternativeprocesses, and not all of the blocks need be executed. For discussionpurposes, the processes herein are described with reference to theframeworks, architectures and environments described in the examplesherein, although the processes may be implemented in a wide variety ofother frameworks, architectures or environments.

FIG. 11 is an example flow diagram showing an illustrative process 1100for deblocking an image prior to encoding according to someimplementations. For instance, image data is often pre-processed priorto compressing by a video encoder to improve the compression rate of theimage data when compared with a non-processed image. However, manyconventional systems utilize block based pre-processing systems thatintroduce imperceptible irregularities (e.g., data not noticeable ordetectable by the human eye) along the edge of the blocks. Thepre-processed image data including the imperceptible irregularities arethen encoded and transmitted to a receiver (such as a set-top-box).Unfortunately, in the conventional system, the encoding of theimperceptible irregularities results in a reduction in the overallcompression of the image data, increasing bandwidth usage, and overallcosts associated with transmitting data. Thus, described herein, is aprocess 1100 to remove the imperceptible irregularities frompre-processed image data by deblocking a plurality of copies or planesof the pre-processed data.

At 1102, a pre-processing system may receive an input frame or image tobe transmitted in a compressed format. For example, the pre-processingsystem may receive a frame from a video sequence being streamed to aset-top-box or other electronic device as part of a video streamingservice.

At 1104, the pre-processing system may pre-process the input frame orimage to generate a plurality of planes. For example, the pre-processingsystem may generate a plurality of image planes representative of theframe or image received and perform the pre-processing on each of theindividual planes. While the pre-processing of each plane may introduceimperceptible irregularities along the boundary of each block, theplanes and/or blocks may be shifted with respect to the original frameor image such that each pixel (or in other cases, each interior pixel)of the original frame or image is an interior pixel of at least oneblock of at least one plane. Thus, mitigating the effect of theimperceptible irregularities introduced along the boundary of each blockwith respect to at least one copy of the pixel from the original frameor image.

At 1104, the pre-processing system may generate a deblocked image basedat least in part on image data associated with the plurality of planes.For example, the pre-processing system may receive a plurality of planesrepresentative of the original frame or image. Each of the planes havingbeen pre-processed for compression. The pre-processing system may mergeimage data of one or more of the plurality of planes back into a singlepre-processed and deblocked image. In general, the pre-processing systemmay select a pixel position corresponding to a pixel of the originalimage or frame and utilize the pixels of at least one block of at leastone plane to generate the pixel of the pre-processed and deblocked imageat the pixel position. For example, the pre-processing system mayidentify each of the planes at which the pixel position exists andweight each pixel based on a distance from the center of a correspondingblock and a weighting function. Thus, the closer a pixel is to aboundary of the corresponding block the less weight the pixel is givenby the pre-processing system during deblocking. As such, thepre-processed and deblocked image generated by the pre-processing systemmay contains image data that is least likely to experience edge effectsduring pre-processing, thus, reducing the effect that the imperceptibleirregularities has on compression rates associated with the image data.

At 1108, the pre-processing system may compress the deblocked image and,at 1110, the pre-processing system may transmit the compressed frame orimage. For example, the deblocked image may be compressed andtransmitted via one or more networks.

Although the subject matter has been described in language specific tostructural features, it is to be understood that the subject matterdefined in the appended claims is not necessarily limited to thespecific features described. Rather, the specific features are disclosedas illustrative forms of implementing the claims.

What is claimed is:
 1. A method comprising: receive a first planeassociated with original image data, the first plane including a firstplurality of pixels corresponding to a first set of pixels of theoriginal image data; receive a second plane associated with the originalimage data, the second plane including a second plurality of pixelscorresponding to second set of pixels of the original image data;generating a deblocked image from the first plane and the second plane;and compressing the deblocked image.
 2. The method as recited in claim1, further comprising pre-processing the original image data to generatethe first plane and the second plane.
 3. The method as recited in claim1, further comprising: receiving a third plane, the third planeincluding a third portion of the original image data; receiving a fourthplane, the fourth plane including a fourth portion of the original imagedata; and wherein the deblocked image includes data from the third planeand the fourth plane.
 4. The method as recited in claim 1, furthercomprising applying at least one deblocking filter to the first planeand the second plane.
 5. The method as recited in claim 1, whereingenerating the deblocked image includes applying a weight at least onepixel of individual ones of the one or more planes.
 6. The method asrecited in claim 5, wherein generating the deblocked image includesapplying a weight to one or more pixels of a first plane of the one ormore planes based on a distance of the one or more pixels from a centerof the first plane.
 7. The method as recited in claim 1, whereingenerating the deblocked image includes generating the deblocked imagefrom data associated with pixels position proximate to a center of eachof the one or more planes.
 8. The method as recited in claim 1, wherein:generating the deblocked image includes weighting pixels of individualones of the one or more planes; and a sum of the weight of the pixels ata given position relative to the image data within the individual onesof the one or more planes is equal to one.
 9. One or more non-transitorycomputer-readable media having computer-executable instructions which,when executed by one or more processors, cause the one or moreprocessors to perform operations comprising: receive, at a deblockingcomponent, a first plane and a second plane associated with originalimage data, wherein the first plane includes a first plurality of pixelscorresponding to a first set of pixels of the original image data andthe second plane includes a second plurality of pixels corresponding tosecond set of pixels of the original image data; and generating, at thedeblocking component, a deblocked image from the first plane and thesecond plane; and compressing, by an encoder component, the deblockedimage.
 10. The one or more non-transitory computer-readable media asrecited in claim 1, wherein the original image data is at least one ofan image, a frame of a video sequence, or frames of a video sequence.11. The one or more non-transitory computer-readable media as recited inclaim 1, wherein generating the deblocked image data includes applying aweight at least one pixel of the individual one of the one or more ofplanes.
 12. The one or more non-transitory computer-readable media asrecited in claim 11, wherein the weight is based on a distance of the atleast one pixel from a center of a block associated with at least one ofthe one or more of planes.
 13. The one or more non-transitorycomputer-readable media as recited in claim 11, wherein the at least onepixel contributes data to the deblocked image data based at least inpart on the weight.
 14. A system comprising: a deblocking unit, thedeblocking unit to: receive a first plane and a second plane associatedwith original image data, wherein the first plane includes a firstplurality of pixels corresponding to a first set of pixels of theoriginal image data and the second plane includes a second plurality ofpixels corresponding to second set of pixels of the original image data;and generate a deblocked image from the first plane and the secondplane; and an encoder to compress the deblocked image.
 15. The system asrecited in claim 14, further comprising a pre-processor to process theoriginal image data and generate the first plane and the second plane.16. The dimensional processor as recited in claim 14, wherein: thedeblocking unit receives a third plane and a fourth plane, the thirdplane includes a third portion of the original image data and the fourthplane includes a fourth portion of the original image data; and thedeblocked image includes data from the third plane and the fourth plane.17. The dimensional processor as recited in claim 14, wherein the firstset of pixels is different than the second set of pixels.
 18. Thedimensional processor as recited in claim 14, wherein the first set ofpixels includes at least one pixel of the second set of pixels.
 19. Thedimensional processor as recited in claim 15, further comprising:weighting the first plurality of pixels of the first plane and thesecond plurality of pixels of the second plane, a first pixel of thefirst plurality of pixels having a first weight, a second pixel of thesecond plurality of pixels having a second weight, the first pixel andthe second pixel having a corresponding position relative to theoriginal image data; and wherein generating the deblocked image includesgenerating a third pixel of the deblocked image based at least in parton the first pixel, the second pixel, the first weight, and the secondweight.
 20. The dimensional processor as recited in claim 19, whereinthe first weight is based at least in part on a distance of the firstpixel from a center of the first plane.